贪食蛇代码

code heuristic cluster

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

建立正交频分多路复用(OFDM)系统调制器的仿真模型，并编程给出具有K=10个子信道、符号区间T=100s、采用16点QAM信号时，OFDM系统调制器的输出信号。(The establishment of orthogonal frequency division multiplexing (OFDM) system, the simulation model of the modulator and the program is given with K = 10 Ge sub-channel, symbol interval T = 100s, with 16-point QAM signal, OFDM system, the modulator output signal .)

Esfera control gimbal matlab

研究生课程系统辨识与最优控制课后习题编程源代码，在matlab07b上调试通过(Graduate courses System Identification and Optimal Control Homework programming source code, debugging through on matlab07b)

这是一种改进的粒子群优化算法，通过简单的测试函数验证(This is an improved particle swarm optimization, through a simple test function verification)

鸢尾花数据分类 采用bp（神经网络前向反馈）算法 (The iris data classification using the algorithm of bp （neural network forward feedback))

说明：  GS迭代算法，可以借鉴参考 ，但是有些小问题 欢迎大家提出(GS iteration algorithm can be used for reference, but there are some small problems you are welcome to raise.)

说明：  辨识参数，进行迭代计算，可以辨识各种经典模型的是参数，经典最小二乘法a(Parameter identification, iterative calculation, can identify all kinds of classical models is the parameter, classical least square method a)

该项目基于图像中颜色发生。从参考图像在视频正在测试计算统计运算符 （例如平均值和标准偏差。